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Table 2 Item selection methods and potential deletion criteria based on CTT and IRT

From: Construction and validation of a revised satisfaction index model for the Chinese urban and rural resident-based basic medical insurance scheme

Methods

Criteria

Test aspects

Floor effect

20% or more individuals choose the lowest score value

Sensitivity

Ceiling effect

20% or more individuals choose the highest score value

Sensitivity

t-test

The measurement variables with no statistically significant difference (α = 0.05) between 27% of the individual groups with the highest and lowest satisfaction scores

Sensitivity or discrimination

Cronbach’s α

coefficient

There is a large increase in the Cronbach’s α after the removal of a measurement variable

Internal consistency

Item-dimension Correlation

The Pearson correlation coefficient of each measurement variable score and its corresponding latent variable score is less than 0.6

Sensitivity or representation

Item-total Correlation

The Pearson correlation coefficient of each measurement variable score and the model total score is less than 0.4

Representation

Stepwise regression

Using the total score of each latent variable as the dependent variable, the stepwise regression analysis is performed with candidate measurement variables as independent variables (sle = 0. 05, sls = 0. 10)

Importance

Exploratory Factor analysis

Measurement variables with a factor load less than 0.4

Representation

a

Less than 0.3

Discrimination

b

Out of range of (‒4, 4)

Degree of under standability

\(\overline{I}\)

\(\overline{I}\) Less than 0. 55

Estimated accuracy